code: def test_metric_closure(self):
      M = metric_closure(self.G1)
      mc = [
          (1, 2, {"distance": 10, "path": [1, 2]}),
          (1, 3, {"distance": 20, "path": [1, 2, 3]}),
          (1, 4, {"distance": 22, "path": [1, 2, 7, 5, 4]}),
          (1, 5, {"distance": 12, "path": [1, 2, 7, 5]}),
          (1, 6, {"distance": 22, "path": [1, 2, 7, 5, 6]}),
          (1, 7, {"distance": 11, "path": [1, 2, 7]}),
          (2, 3, {"distance": 10, "path": [2, 3]}),
          (2, 4, {"distance": 12, "path": [2, 7, 5, 4]}),
          (2, 5, {"distance": 2, "path": [2, 7, 5]}),
          (2, 6, {"distance": 12, "path": [2, 7, 5, 6]}),
          (2, 7, {"distance": 1, "path": [2, 7]}),
          (3, 4, {"distance": 10, "path": [3, 4]}),
          (3, 5, {"distance": 12, "path": [3, 2, 7, 5]}),
          (3, 6, {"distance": 22, "path": [3, 2, 7, 5, 6]}),
          (3, 7, {"distance": 11, "path": [3, 2, 7]}),
          (4, 5, {"distance": 10, "path": [4, 5]}),
          (4, 6, {"distance": 20, "path": [4, 5, 6]}),
          (4, 7, {"distance": 11, "path": [4, 5, 7]}),
          (5, 6, {"distance": 10, "path": [5, 6]}),
          (5, 7, {"distance": 1, "path": [5, 7]}),
          (6, 7, {"distance": 11, "path": [6, 5, 7]}),
      ]
      assert edges_equal(list(M.edges(data=True)), mc)
  
file_path: networkx/networkx/algorithms/approximation/tests/test_steinertree.py
imports: import pytest
  import networkx
  from networkx.algorithms.approximation.steinertree import metric_closure, steiner_tree
  from networkx.utils import edges_equal
label_desc: Use image node_id 3 for calling the TestSteinerTree obj's underlying member method code with example usage: obj.test_metric_closure() without return types